Abstract
This study proposes an expert system that applied in Taiwan motorcycle’s fault detection and maintenance. An expert’s knowledge structure was explored, to construct a knowledge base which has the expertise and then to build a friendly human-computer interface. This study will examine the knowledge structures of a novice group and an expert group by using knowledge network organizing method. And the similarity between theses two groups is assessed from network structure indices. The expected results will indicate the knowledge structure of an expert group is more organized than a novice group and then a suitable expert system will be developed. To develop the expert system for the fault detection and maintenance can not only promote the maintenance efficiency and quality, but also make up for the shortage of Taiwan motorcycle’s maintainers. It also, of course, can serve as a training tool for maintainers and shorten learning time effectively.
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Su, KW., Hwang, SL., Zhou, YF. (2004). The Exploration and Application of Knowledge Structures in the Development of Expert System: A Case Study on a Motorcycle System. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_35
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DOI: https://doi.org/10.1007/978-3-540-24677-0_35
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